Mission Compiler
Compile high-level engineering intent into typed PlanGraph work with explicit dependencies and verification gates.
Not another chat panel.
Kelvin treats AI-assisted engineering as an execution-system problem. Intent becomes an inspectable graph, tools are equipped when needed, and completion requires evidence rather than a convincing sentence.
The operating system for serious missions.
Parallel sub-agents
Dispatch independent branches concurrently while keeping resource limits, policy, and failure boundaries visible.
Context Reactor
Route tools, skills, retrieval, artifacts, files, and conversation as a controlled working set instead of dumping everything into every prompt.
Native-first drivers
Preserve model-native tokenization, control grammars, tool semantics, and local inference capabilities where they matter.
Ground-truth gates
Separate successful process exit from semantic correctness through independent checks, invariants, and reproducible evidence.
Local-first control
Use local models, runtimes, tools, and artifacts on hardware you control. Add cloud capability when it earns its place.
From intent to evidence.
intent
-> Mission Compiler
-> typed PlanGraph DAG
-> dependency-aware scheduler
-> parallel agents + tools + retrieval
-> artifacts and independent checks
-> verified result